Sarucha Yanyong

Thainame ศรุชา ยรรยง

sy_pic.jpg

Department of Robotics and AI Engineering, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL), 1 Chalong Krung, 1 Alley, Lat Krabang, Bangkok, Thailand email: sarucha.ya@kmitl.ac.th

Biography

Sarucha Yanyong serves as a Lecturer in the Department of Robotics and AI, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang (KMITL), a position he has held since June 2023. His research focuses on industrial robotics, mobile robotics, and intelligent control. He earned a D.Eng. in Electrical Engineering in 2023, supported by the Thailand Research Fund (TRF) through the Research and Researchers for Industries (RRI) grant, and was a Visiting Research Student at the Multimedia Computing Systems Laboratory (MCSLab), Sungkyunkwan University (SKKU), in Seoul, South Korea. This followed an M.Eng. in Electrical Engineering (2014) and a B.Eng. in Mechatronics Engineering (2012) from KMITL.

Prior to his academic career, he gained nearly five years of experience in railway signaling (software development) as an Application Engineer at Bombardier Transportation Signal (Thailand) Limited, now part of ALSTOM. In addition to his role as a researcher, he works as a software engineering consultant with expertise in deploying IT/OT solutions for automation and intelligent manufacturing.

Professional Experience

2023.06 – current: Lecturer, Department of Robotics and AI, School of Engineering, KMITL
2023.01 – 2023.03: Visiting Research Student, Sungkyunkwan University (SKKU), Seoul, Republic of Korea, Multimedia Computing Systems Laboratory (MCSLab)
2019.08 – 2022.12: Adjunct Lecturer, King Mongkut’s Institute of Technology Ladkrabang
2019.06 – 2021.11: Software Engineer, Foster Engineering Co., Ltd. (Remote Project-Based Role)
2014.10 – 2019.03: Application Engineer, Bombardier Transportation Signal (Thailand) Limited
2012.03 – 2014.08: Research Assistant, Control system and Reseach Unit, KMITL & Seagate Technology
2011.03 – 2011.06: Engineering Intern, Seagate Technology Thailand (Teparak Plant)

Education

D.Eng., Electrical Engineering, King Mongkut’s Institute of Technology Ladkrabang, 2023
M.Eng., Electrical Engineering, King Mongkut’s Institute of Technology Ladkrabang, 2014
B.Eng., Mechatronics Engineering, King Mongkut’s Institute of Technology Ladkrabang, 2012

Awards and Scholarships

  • Won 1st prize on RoboCup Japan Open 2024, Logistics League.
  • Best Paper Award at The 2023 IAENG International Conference on Electrical Engineering for “A Novel Robust Adaptive Control for PMDC Servo Motor Incorporating Recursive Least Square and Particle Swarm Optimization.”
  • Won 1st prize in the Mobile Robot for Logistics Major League at the Roboinnovator Challenge 2023, Software Park, NSTDA, Thailand.
  • Gold Award in the IoT Device category at the 18th Asian Conference on Computer-Aided Surgery and Medicine 2022 (ACCAS 2022), for “Digital Health Innovation: Development of an IoT-based Oxygen High Flow Device.”
  • Graduate Scholarship, Thailand Research Fund (TRF), 2019.
  • Outstanding Service Award, university-nominated award for Vice President of the Robot Club, KMITL (2010).

Background

Holding a D.Eng. in Electrical Engineering, I currently serve as a full-time lecturer at King Mongkut’s Institute of Technology Ladkrabang (KMITL) since June 2023. My professional identity is defined by three converging roles: researcher, lecturer, and developer. My academic research centers on Intelligent Control and AI/ML adoption for manufacturing, while my industrial specialization lies in Software Development and Engineering Consultancy. I possess specific expertise in complex system integration, the critical intersection where networking, embedded systems, software, sensors, actuators, and control systems meet.

In my teaching capacity, I lead courses in Artificial Intelligence for graduate students, Microprocessors & Interface, Advanced Computer Programming (covering full-stack development, databases, and Containerization), and Mobile Robotics (ROS).

My doctoral studies were concentrated on energy optimization and path planning of mobile robotics. Over the years, I have implemented mobile robotics for different industries and expanded my interests into the realms of computer vision and machine learning. These research interests have been transformed into real-world applications, facilitated by my proficiency in an array of software tools and frameworks such as Pytorch, Robot Operating System (ROS), MATLAB, Node JS, and React JS.

Based on my work experience, I invited to work as a special lecturer at KMITL since August 2019, accumulating a total of 4 years of teaching experience. During my tenure, I taught courses such as Computer Programming, Microprocessor and Interface, Mobile Robot (Robot Operating System), Industrial Project Application, Computer Vision, and Web application & Database. My responsibilities included providing IT consultancy and being a advisor for a senior project student for the Department of Robotics and AI.

I have several years of experience working as an Application Engineer at Bombardier Transportation Signal (Thailand) Ltd., based in Bangkok, I played a key role in various projects within the company. My responsibilities included developing a site-specific application and automatic software testing framework for Interlocking Software. I also served as the Work Package Leader for the Interlocking Application Development under the CITYFLO650 solution moving block for the MRT Purple Line Project in Thailand. In this capacity, I managed the project’s budget, supervised team members, and oversaw the verification and validation of safety documents related to software.

In addition to my leadership role, I actively participated in Interlocking Application Development and served as a reviewer. My tasks involved designing applications based on signaling plans and local operation procedures, configuring networks, and conducting safety assessments to ensure compliance with the EN50128 standard for train control systems of several major projects. My skills extend to Unix OS, Red Hat, Ubuntu, CentOS, shell scripting, Python, Jenkins, and GitLab. These projects included the BTS Green Line Extension (CITYFLO450) in Thailand, the Durban Re-signalling (CITYFLO200) in South Africa, and the Rail Systems Alliance (RSA) CITYFLO650 solution in Melbourne, Australia.

After leaving the railway industry, I decided to take on a new challenge by working on my own projects in the software industry, providing services to large consumer goods production companies such as Unilever, NEO Factory and etc. I joined a software project team in Foster Engineering Co., Ltd., a company specializing in process control, PLC, and SCADA systems. My role in the company was not permanent, and I worked remotely for some projects because my focus was on software products only. As a full-stack developer, I was responsible for creating web-based inventory management with the prediction systems. And also small software for data transformation between applications. Most of the applications I developed were required to interface with SCADA and PLC systems and occasionally receive orders from SAP. Through this job, I gained valuable experience in various technologies, including Microsoft SQL Server, MongoDB, React, NodeJS, Python, Docker, and VMware ESXi.

Selected Publications

  1. Experimental realization of PSO-based hybrid adaptive sliding mode control for force impedance control systems
    Sarucha Yanyong* and Somyot Kaitwanidvilai
    Results in Control and Optimization, 2025
  2. Localization for Outdoor Mobile Robot Using LiDAR and RTK-GNSS/INS
    Thepsit Thepsit, Poom Konghuayrob, Anakkapon Saenthon, and Sarucha Yanyong*
    Sensors and Materials, 2024
  3. A Novel Robust Adaptive Control for PMDC Servo Motor Incorporating Recursive Least Square and Particle Swarm Optimization
    Sarucha Yanyong* and Somyot Kaitwanidvilai
    In Lecture Notes in Engineering and Computer Science, 2023
  4. Autonomous Modular Harvesting System for Vertical Aeroponic Farming
    Asnapetch Panit, Ruangrit Chalermpong, Tongsri Napat, Dissanayaka Supuni, and Sarucha Yanyong*
    In 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2023